DocumentCode
2643961
Title
Identification of an output error Takagi-Sugeno model
Author
Gasso, Komi ; Mourot, Gilles ; Ragot, José
Author_Institution
CNRS, Vandoeuvre-les-Nancy, France
Volume
1
fYear
2000
fDate
2000
Firstpage
14
Abstract
The identification of a TS model with output error local models is considered. The premise part of the TS model is assumed to be described by a lattice partition. The main problem involved is the determination of the premise variables, the associated number of modalities and the structure of the local models. The premise optimisation is solved by a forward approach and the structure of the local models are further refined using a pruning technique. The application of the overall procedure on a simulation example is reported
Keywords
errors; fuzzy logic; fuzzy set theory; modelling; optimisation; TS model identification; forward approach; lattice partition; local models; modalities; output error Takagi-Sugeno model; output error local models; premise optimisation; premise variables; pruning technique; simulation example; Explosions; Fuzzy sets; Interpolation; Lattices; Nonlinear dynamical systems; Nonlinear systems; System identification; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location
Nashville, TN
ISSN
1062-922X
Print_ISBN
0-7803-6583-6
Type
conf
DOI
10.1109/ICSMC.2000.884957
Filename
884957
Link To Document